Linear approximation of weakly nonlinear MIMO systems

Tadeusz P. Dobrowiecki, Johan Schoukens

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

The replacement of a nonlinear MIMO system by a linear system plus a nonlinear noise source was discussed. The optimized measurement strategy was proposed to measure the nonparametric frequency response function (FRF). The measured MIMO system was restricted to a Wiener-Hammerstein structure to trace the influence of the linear dynamics on various parts of the approximation. The results show that the bias and the nonlinear noise on the FRF depend on the applied input signals.

Original languageEnglish
Title of host publicationProceedings of the 21st IEEE Instrumentation and Measurement Technology Conference, IMTC/04
EditorsS. Demidenko, R. Ottoboni, D. Petri, V. Piuri, D.C.T. Weng
Pages1607-1612
Number of pages6
DOIs
Publication statusPublished - Oct 8 2004
EventProceedings of the 21st IEEE Instrumentation and Measurement Technology Conference, IMTC/04 - Como, Italy
Duration: May 18 2004May 20 2004

Publication series

NameConference Record - IEEE Instrumentation and Measurement Technology Conference
Volume3
ISSN (Print)1091-5281

Other

OtherProceedings of the 21st IEEE Instrumentation and Measurement Technology Conference, IMTC/04
CountryItaly
CityComo
Period5/18/045/20/04

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Dobrowiecki, T. P., & Schoukens, J. (2004). Linear approximation of weakly nonlinear MIMO systems. In S. Demidenko, R. Ottoboni, D. Petri, V. Piuri, & D. C. T. Weng (Eds.), Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference, IMTC/04 (pp. 1607-1612). (Conference Record - IEEE Instrumentation and Measurement Technology Conference; Vol. 3). https://doi.org/10.1109/IMTC.2004.1351389